Age | Commit message (Collapse) | Author |
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settings
Run with
./bin/genenetwork2 ~/my_settings.py -c ./wqflask/maintenance/gen_select_dataset.py
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single BXD or whatever) should be fixed for different mapping methods and data set types
Renamed directories with genotypes so tools.py didn't need to be changed (which might mess up other deployments)
Fixed error when searching genotype data sets
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names (like BXD65a)
R/qtl and PYLMM still not working with the change and bootstrap results are also still wrong, so need to fix those issues.
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draw to different chr areas though
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Currently we still usually get our samplelists from the genofile. This is
dumb because it results in us having a bunch of "dummy" genofiles for certain
data sets (seems to be mostly human ones). This means that checking for the
genofile alone isn't enough to determine if a mapping method should exist
for a given group
I wrote some code that will instead get the samplelist from the plink .fam file
for some of these groups/datasets (if the .fam file exists). Ideally I would like to remove all of the dummy
.geno files, but we can't yet do so because it's currently the only place we seem to be storing
the sample list for some groups.
I also moved gemma into the plink directory to get it out of the git tree.
Since it uses the same files as plink, it doesn't make sense for it
to be in its own separate directory
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it used to point to the now-renamed 'web' directory). It obviously also needs to be renamed later, but I'll have to find every place that calls webqtlConfig.HTMLPATH first to do so.
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external settings
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Improved the templates for a couple pages related to changing user
password, etc
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and builds each groups' samplelist
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Got human mapping mostly working
Fixed dataset dropdown menus
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Removed webqtlConfigLocal file containing passwords
Updated main page dropdown menus (dataset_menu_structure.json)
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Conflicts:
wqflask/wqflask/templates/index_page.html
Merging the code on Sam's branch onto my own
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for HLC datasets
Still need to read in file
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pass to Nick's code and changed the prep_data.py code to operate on
a list of phenotype values instead of a textfile with the values
delimited
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